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pro vyhledávání: '"Volodina, Elena"'
Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names or political opinions. General Data Protection Regulat
Externí odkaz:
http://arxiv.org/abs/2308.16109
Publikováno v:
Northern European Journal of Language Technology. Volume 1. 2021
In this study we investigate to which degree experts and non-experts agree on questions of difficulty in a crowdsourcing experiment. We ask non-experts (second language learners of Swedish) and two groups of experts (teachers of Swedish as a second/f
Externí odkaz:
http://arxiv.org/abs/2206.08724
Autor:
Rutovskaya, Marina V., Volodin, Ilya A., Naidenko, Sergey V., Erofeeva, Mariya N., Alekseeva, Galina S., Zhuravleva, Polina S., Volobueva, Kseniya A., Kim, Mariya D., Volodina, Elena V.
Publikováno v:
In Behavioural Processes March 2024 216
We present DaLAJ 1.0, a Dataset for Linguistic Acceptability Judgments for Swedish, comprising 9 596 sentences in its first version; and the initial experiment using it for the binary classification task. DaLAJ is based on the SweLL second language l
Externí odkaz:
http://arxiv.org/abs/2105.06681
Autor:
Piastolov, Semen V., Volodin, Ilya A., Vasilieva, Nina Yu., Khrushchova, Anastasia M., Shekarova, Olga N., Volodina, Elena V.
Publikováno v:
In Behavioural Processes August 2023 210
Akademický článek
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We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora. The hybrid system combining heuristics and machine learning methods includes a nu
Externí odkaz:
http://arxiv.org/abs/1706.03530
Akademický článek
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Autor:
Volodina, Elena, Pilán, Ildikó, Enström, Ingegerd, Llozhi, Lorena, Lundkvist, Peter, Sundberg, Gunlög, Sandell, Monica
We present a new resource for Swedish, SweLL, a corpus of Swedish Learner essays linked to learners' performance according to the Common European Framework of Reference (CEFR). SweLL consists of three subcorpora - SpIn, SW1203 and Tisus, collected fr
Externí odkaz:
http://arxiv.org/abs/1604.06583
Corpora and web texts can become a rich language learning resource if we have a means of assessing whether they are linguistically appropriate for learners at a given proficiency level. In this paper, we aim at addressing this issue by presenting the
Externí odkaz:
http://arxiv.org/abs/1603.08868